Regional Inverse Modeling in North and South America for the NASA Carbon Monitoring System Arlyn Andrews (NOAA/ESRL), John Miller (NOAA/ESRL, CIRES), Thomas.

Slides:

Advertisements

Similar presentations

Regional flux estimates of CO2 and CH4 inferred from GOSAT XCH4:XCO2 ratios Liang Feng Annemarie Fraser Paul Palmer University of Edinburgh Hartmut Bösch.

Advertisements

Quantifying North American methane emissions using satellite observations of methane columns Daniel J. Jacob with Alex Turner, Bram Maasakkers, Melissa.

Quantification of the sensitivity of NASA CMS-Flux inversions to uncertainty in atmospheric transport Thomas Lauvaux, NASA JPL Martha Butler, Kenneth Davis,

Greenhouse gases Observing SATellite Observing SATellite 29 March 2011 Hyper Spectral Workshop The ACOS/GOSAT Experience David Crisp JPL/CALTECH.

GHG Verification & the Carbon Cycle 28 September 2010 JH Butler, NOAA CAS Management Group Meeting Page 1 Global Monitoring, Carbon Cycle Science, and.

Improving Understanding of Global and Regional Carbon Dioxide Flux Variability through Assimilation of in Situ and Remote Sensing Data in a Geostatistical.

NCEO Carbon Land Meeting 2012 Greenhouse Gas Satellite Remote Sensing from GOSAT Robert Parker, Austin Cogan and Hartmut Boesch EOS Group, University of.

N emissions and the changing landscape of air quality Rob Pinder US EPA Office of Research and Development Atmospheric Modeling & Analysis Division.

CMS – 2012 Reduction in Bottom-Up Land Surface CO 2 Flux Uncertainty in NASA’s Carbon Monitoring System Flux Project through Systematic Multi-Model Evaluation.

North American Regional-Scale Flux Estimation and Observing System Design for the NASA Carbon Monitoring System NOAA/CIRES: Arlyn Andrews, Kirk Thoning,

Atmospheric Carbon and Transport – America A new NASA Earth Venture Suborbital mission dedicated to improving the accuracy, precision and resolution of.

A direct carbon budgeting approach to infer carbon sources and sinks from the NOAA/ESRL Aircraft Network Colm Sweeney 1, Cyril Crevoisier 2, Wouter Peters.

John J. Cassano, Matthew Higgins, Alice DuVivier University of Colorado Wieslaw Maslowski, William Gutowski, Dennis Lettenmaier, Andrew Roberts.

Virtual Tall Towers and Inversions or How to Make Productive Use of Continental CO 2 Measurements in Global Inversions Martha Butler The Pennsylvania State.

Exploiting Satellite Observations of Tropospheric Trace Gases Ross N. Hoffman, Thomas Nehrkorn, Mark Cerniglia Atmospheric and Environmental Research,

TransCom Continuous Experiment CSU NASA PCTM Scott Denning, John Kleist.

Compatibility of surface and aircraft station networks for inferring carbon fluxes TransCom Meeting, 2005 Nir Krakauer California Institute of Technology.

A Variational Carbon Data Assimilation System (CDAS-4DVar)

Monthly Mean Carbon Flux Estimates: Some Network Considerations Lori Bruhwiler, Anna Michalak, Wouter Peters, Pieter Tans NOAA Climate Monitoring and.

Investigating Representation Errors in Inversions of Satellite CO 2 Retrievals K.D. Corbin, A.S. Denning, N.C. Parazoo Department of Atmospheric Science.

Modeling CO 2 and its sources and sinks with GEOS-Chem Ray Nassar 1, Dylan B.A. Jones 1, Susan S. Kulawik 2 & Jing M. Chen 1 1 University of Toronto, 2.

Jan Top-level slides provided by Janusz Eluszkiewicz and Thomas Nehrkorn Atmospheric & Environmental Research, Inc. 131 Hartwell Ave Lexington, Massachusetts.

Data assimilation of atmospheric CO 2 at ECMWF in the context of the GEMS project Richard Engelen ECMWF Thanks to Soumia Serrar and Frédéric Chevallier.

Improving and extending CMS land surface carbon flux products including estimates of uncertainties in fluxes and biomass. Jim Collatz, Randy Kawa, Lesley.

Modeling framework for estimation of regional CO2 fluxes using concentration measurements from a ring of towers Modeling framework for estimation of regional.

Mercury Source Attribution at Global, Regional and Local Scales Christian Seigneur, Krish Vijayaraghavan, Kristen Lohman, and Prakash Karamchandani AER.

Differences in Model Transport of CO2. Cloud Contamination ✦ Radar indicates precipitation along fronts ✦ Coincidentally, this is where much of interesting.

GEOS-CARB: A Framework for Monitoring Carbon Concentrations and Fluxes Steven Pawson 1, Lesley Ott 1, David Baker 2, George J. Collatz 1, Janusz Eluszkiewicz.

ICDC7, Boulder, September 2005 CH 4 TOTAL COLUMNS FROM SCIAMACHY – COMPARISON WITH ATMOSPHERIC MODELS P. Bergamaschi 1, C. Frankenberg 2, J.F. Meirink.

Sharon M. Gourdji, K.L. Mueller, V. Yadav, A.E. Andrews, M. Trudeau, D.N. Huntzinger, A.Schuh, A.R. Jacobson, M. Butler, A.M. Michalak North American Carbon.

Data assimilation in land surface schemes Mathew Williams University of Edinburgh.

Forward/Inverse Atmospheric Modelling: Recent Results and Future Plans Martyn Chipperfield, Manuel Gloor University of Leeds NCEO meeting, University of.

CO over South America Modeling inter annual variability of biomass burning emissions Pim Hooghiemstra & Maarten Krol 28 November 2011 – TM meeting.

TOP-DOWN CONSTRAINTS ON REGIONAL CARBON FLUXES USING CO 2 :CO CORRELATIONS FROM AIRCRAFT DATA P. Suntharalingam, D. J. Jacob, Q. Li, P. Palmer, J. A. Logan,

Atmospheric Validation Working Group Members (23): Heather Graven, Manvendra Dubey, Arlyn Andrews, David Baker, Kevin Bowman, Martha Butler, Jim Collatz,

Methane and Nitrous Oxide in North America: Using an LPDM to Constrain Emissions Eric Kort Non-CO2 Workshop October 23, 2008.

Presentation by: Dan Goldberg Co-authors: Tim Vinciguerra, Linda Hembeck, Sam Carpenter, Tim Canty, Ross Salawitch & Russ Dickerson 13 th Annual CMAS Conference.

Data Assimilation Working Group Dylan Jones (U. Toronto) Kevin Bowman (JPL) Daven Henze (CU Boulder) 1 IGC7 4 May 2015.

Integration of biosphere and atmosphere observations Yingping Wang 1, Gabriel Abramowitz 1, Rachel Law 1, Bernard Pak 1, Cathy Trudinger 1, Ian Enting.

Melanie Follette-Cook Christopher Loughner (ESSIC, UMD) Kenneth Pickering (NASA GSFC) CMAS Conference October 27-29, 2014.

Validation of NARCCAP climate products for forest resource applications in the southeast United States. Willis Shem 1, Thomas Mote 2, Marshall Shepherd.

Development of an EnKF to estimate CO 2 fluxes from realistic distributions of X CO2 Liang Feng, Paul Palmer

C. Sweeney 1, A. Karion, D.W.Guenther 1, S. E. Wolter 1, D. Neff 1, P.M. Lang 2, M.J. Heller 1, T. Conway 2, E.J. Dlugokencky 2, P. Novelli 2, L. Bruhwiler.

Carbon dioxide from TES Susan Kulawik F. W. Irion Dylan Jones Ray Nassar Kevin Bowman Thanks to Chip Miller, Mark Shephard, Vivienne Payne S. Kulawik –

FastOpt Quantitative Design of Observational Networks M. Scholze, R. Giering, T. Kaminski, E. Koffi P. Rayner, and M. Voßbeck Future GHG observation WS,

ENEON first workshop Observing Europe: Networking the Earth Observation Networks in Europe September, Paris Total Carbon Column Observing Network.

Central EuropeUS East CoastJapan Global satellite observations of the column-averaged dry-air mixing ratio (mole fraction) of CO 2, denoted XCO 2, has.

1 Improving the parameterization of land-surface exchange in the GEOS-Chem Hg model Shaojie Song and Noelle Selin Massachusetts Institute of Technology.

Constraints on the Production of Nitric Oxide by Lightning as Inferred from Satellite Observations Randall Martin Dalhousie University With contributions.

Downscaling the NOAA CarbonTracker Inversion for North America Gabrielle Petron 1,2, Arlyn E. Andrews 1, Michael E. Trudeau 1,2,3, Janusz Eluszkiewicz.

Estimating background ozone in surface air over the United States with global 3-D models of tropospheric chemistry Description, Evaluation, and Results.

Improving Retrievals of Tropospheric NO 2 Randall Martin, Dalhousie and Harvard-Smithsonian Lok Lamsal, Gray O’Byrne, Aaron van Donkelaar, Dalhousie Ed.

Study of N 2 O Flux over Central Amazon Monica Tais Siqueira D'Amelio (IPEN/LQA) Luciana Vanni Gatti (IPEN/LQA) John Bharat Miller.

I MPACT OF THE EXPANDING MEASUREMENT NETWORK ON TOP - DOWN BUDGETING OF CO 2 SURFACE FLUXES IN N ORTH A MERICA Kim Mueller, Sharon Gourdji, Vineet Yadav,

Wildfire activity as been increasing over the past decades Cites such as Salt Lake City are surrounded by regions at a high risk for increased wildfire.

Ground-level NO 2 Concentrations Inferred from OMI Lok Lamsal, Dalhousie University Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar,

Convective Transport of Carbon Monoxide: An intercomparison of remote sensing observations and cloud-modeling simulations 1. Introduction The pollution.

Biospheric Models as Priors Deborah Huntzinger, U. Michigan.

Satellite Remote Sensing of the Air Quality Health Index Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal, Dalhousie University.

NASA, CGMS-44, 7 June 2016 Coordination Group for Meteorological Satellites - CGMS SURFACE PRESSURE MEASUREMENTS FROM THE ORBITING CARBON OBSERVATORY-2.

Inverse Model Carbon Flux Estimates for Amazonia in 2007 John B. Miller 1,2, Wouter Peters 1,2,3, Luciana Vanni Gatti 4, Monica d’Amelio Felipe 4 1.NOAA.

Randall Martin Dalhousie University

Variability of CO2 From Satellite Retrievals and Model Simulations

Atmospheric Tracers and the Great Lakes

Randall Martin, Daniel Jacob, Jennifer Logan, Paul Palmer

Estimating Ground-level NO2 Concentrations from OMI Observations

Variability of CO2 From Satellite Retrievals and Model Simulations

WEST AFRICAN MONSOON EXPERIMENT (WAM)

CONSISTENCY among MOPITT, SCIA, AIRS and TES measurements of CO using the GEOS-Chem model as a comparison.

Carbon Model-Data Fusion

Presentation transcript:

Regional Inverse Modeling in North and South America for the NASA Carbon Monitoring System Arlyn Andrews (NOAA/ESRL), John Miller (NOAA/ESRL, CIRES), Thomas Nehrkorn and Marikate Mountain (AER), Anna Michalak (CIS), Christopher O’Dell (CSU) Merger of Andrews 2012 and Miller 2012 projects – regional CO 2 inverse modeling for North and South America using in situ and remote sensing data Focus on 2015, first calendar year with OCO-2 data Continue to refine flux estimation strategy – ensembles of inverse model calculations to test sensitivity to prior flux errors, assumed prior error structure, data weighting approaches, boundary values, etc. Comparison of optimized fluxes with global CMS flux products WRF model domain for North America Typical STILT-WRF footprint

July 2010 Cumulative Sensitivity to Surface Flux for In Situ (Flask and Continuous) and ACOS GOSAT quality controlled data Number of GOSAT observations is relatively low and sensitivity to surface fluxes is much lower than for in situ data – OCO-2 will have many more cloud-free scenes Increased sensitivity for column data may be achieved by extending domain further over the Atlantic

 Sensitivity of in situ CO 2 aircraft measurements to surface fluxes (Gatti et al., 2014). Comparison of observed and NASA CMS v3.3 simulated profiles for the site Tabatinga in the Brazilian Amazon showing a large bias during the wet season (DJF) with smaller but significant difference during the dry season (JJA). 